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addition, the Steel Research Hub partners with 5 Australian Universities (the University of Queensland, University of Newcastle, Swinburne University of Technology, RMIT and the University of NSW). The Steel
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machine learning in this collaboration with RMIT. Join our multidisciplinary research team to develop and apply machine learning and bioinformatic algorithms in biomedical research. This PhD project will
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Using a bioinformatics analysis pipeline we will investigate whether vaccination responses are affected by the microbiome profile, and whether it changes according to the vaccination sequence
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system, or the response to COVID-19 vaccines in different populations, e.g. the pregnant or elderly. The value of the Scholarship is equivalent to an RMIT full Scholarship. This Scholarship will be
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The value of the Scholarship is equivalent to an RMIT full Scholarship. This Scholarship will be available for 3.5 years. The value of the Scholarship is equivalent to an RMIT full Scholarship
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to the decline in immune function and ability to respond to vaccines, infections and cancers in the elderly. The value of the Scholarship is equivalent to an RMIT full Scholarship. This Scholarship will be
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to an RMIT full Scholarship This Scholarship will be available for 3.5 years. The value of the Scholarship is equivalent to an RMIT full Scholarship This Scholarship will be available for 3.5 years
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create new knowledge on how humoral (antibody-mediated) immunity affects nanomaterials using cutting-edge immunoassays, bio–nano characterisation techniques, and bioinformatics. Expected outcomes
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treatment earlier as well, resulting in increased survival. The value of the Scholarship is equivalent to an RMIT full Scholarship This Scholarship will be available for 3.5 years. The value
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, the project will use RNAseq, epigenetics and flowcytometry, as well as classic immunological techniques. The value of the Scholarship is equivalent to an RMIT full Scholarship This Scholarship will be available